CoCalc Logo Icon
StoreFeaturesDocsShareSupportNewsAboutSign UpSign In
amanchadha

Real-time collaboration for Jupyter Notebooks, Linux Terminals, LaTeX, VS Code, R IDE, and more,
all in one place. Commercial Alternative to JupyterHub.

GitHub Repository: amanchadha/coursera-deep-learning-specialization
Path: blob/master/C4 - Convolutional Neural Networks/Week 2/ResNets/outputs.py
Views: 4818
1
convolutional_block_output1 = [[[[0., 0.66683817, 0., 0., 0.888539, 0.5274254 ],
2
[0., 0.65053666, 0., 0., 0.8959285, 0.49965227]],
3
[[0., 0.6312079, 0., 0., 0.86362475, 0.47643146],
4
[0., 0.56883204, 0., 0., 0.8553412, 0.417093 ]]],
5
[[[1.0951002, 0., 1.5761349, 0.6267836, 0., 0., ],
6
[1.3594234, 0., 1.6074152, 0.6536726, 0., 0., ]],
7
[[0.49971345, 0., 0.9446775, 0.6636579, 0., 0., ],
8
[0.98098886, 0., 1.0731578, 0.6013661, 0., 0., ]]],
9
[[[3.2853007, 0., 4.728405, 1.8803508, 0., 0., ],
10
[4.07827, 0., 4.8222456, 1.9610177, 0., 0., ]],
11
[[1.4991404, 0., 2.8340323, 1.9909737, 0., 0., ],
12
[2.9429667, 0., 3.2194734, 1.8040984, 0., 0. ]]]]
13
14
convolutional_block_output2 = [[[[0. , 2.7823157, 0. , 0. , 1.6960442, 2.8218517],
15
[0. , 1.5445004, 0. , 0. , 2.170656 , 1.3908148]],
16
[[0. , 1.9399526, 0. , 0. , 1.4798119, 1.9157798],
17
[0. , 0. , 0. , 0.9879823, 1.1234158, 0. ]]],
18
[[[0., 0.4073585, 0., 0.60906595, 0.61729676, 0.43824518],
19
[0., 0.4073585, 0., 0.60906595, 0.61729676, 0.43824518]],
20
[[0., 0.4073585, 0., 0.60906595, 0.61729676, 0.43824518],
21
[0., 0.4073585, 0., 0.60906595, 0.61729676, 0.43824518]]],
22
[[[2.6159182, 0., 2.752994, 0., 0., 0., ],
23
[3.4472604, 0., 2.7312024, 0.03319526, 0., 0., ]],
24
[[0.9830525, 0., 1.6564476, 0.9591365, 0., 0., ],
25
[2.5460882, 0., 1.1291425, 0., 0., 0., ]]]]
26
27
28
ResNet50_summary =[['InputLayer', [(None, 64, 64, 3)], 0],
29
['ZeroPadding2D', (None, 70, 70, 3), 0, ((3, 3), (3, 3))],
30
['Conv2D', (None, 32, 32, 64), 9472, 'valid', 'linear', 'GlorotUniform'],
31
['BatchNormalization', (None, 32, 32, 64), 256],
32
['Activation', (None, 32, 32, 64), 0],
33
['MaxPooling2D', (None, 15, 15, 64), 0, (3, 3), (2, 2), 'valid'],
34
['Conv2D', (None, 15, 15, 64), 4160, 'valid', 'linear', 'GlorotUniform'],
35
['BatchNormalization', (None, 15, 15, 64), 256],
36
['Activation', (None, 15, 15, 64), 0],
37
['Conv2D', (None, 15, 15, 64), 36928, 'same', 'linear', 'GlorotUniform'],
38
['BatchNormalization', (None, 15, 15, 64), 256],
39
['Activation', (None, 15, 15, 64), 0],
40
['Conv2D', (None, 15, 15, 256), 16640, 'valid', 'linear', 'GlorotUniform'],
41
['Conv2D', (None, 15, 15, 256), 16640, 'valid', 'linear', 'GlorotUniform'],
42
['BatchNormalization', (None, 15, 15, 256), 1024],
43
['BatchNormalization', (None, 15, 15, 256), 1024],
44
['Add', (None, 15, 15, 256), 0],
45
['Activation', (None, 15, 15, 256), 0],
46
['Conv2D', (None, 15, 15, 64), 16448, 'valid', 'linear', 'RandomUniform'],
47
['BatchNormalization', (None, 15, 15, 64), 256],
48
['Activation', (None, 15, 15, 64), 0],
49
['Conv2D', (None, 15, 15, 64), 36928, 'same', 'linear', 'RandomUniform'],
50
['BatchNormalization', (None, 15, 15, 64), 256],
51
['Activation', (None, 15, 15, 64), 0],
52
['Conv2D', (None, 15, 15, 256), 16640, 'valid', 'linear', 'RandomUniform'],
53
['BatchNormalization', (None, 15, 15, 256), 1024],
54
['Add', (None, 15, 15, 256), 0],
55
['Activation', (None, 15, 15, 256), 0],
56
['Conv2D', (None, 15, 15, 64), 16448, 'valid', 'linear', 'RandomUniform'],
57
['BatchNormalization', (None, 15, 15, 64), 256],
58
['Activation', (None, 15, 15, 64), 0],
59
['Conv2D', (None, 15, 15, 64), 36928, 'same', 'linear', 'RandomUniform'],
60
['BatchNormalization', (None, 15, 15, 64), 256],
61
['Activation', (None, 15, 15, 64), 0],
62
['Conv2D', (None, 15, 15, 256), 16640, 'valid', 'linear', 'RandomUniform'],
63
['BatchNormalization', (None, 15, 15, 256), 1024],
64
['Add', (None, 15, 15, 256), 0],
65
['Activation', (None, 15, 15, 256), 0],
66
['Conv2D', (None, 8, 8, 128), 32896, 'valid', 'linear', 'GlorotUniform'],
67
['BatchNormalization', (None, 8, 8, 128), 512],
68
['Activation', (None, 8, 8, 128), 0],
69
['Conv2D', (None, 8, 8, 128), 147584, 'same', 'linear', 'GlorotUniform'],
70
['BatchNormalization', (None, 8, 8, 128), 512],
71
['Activation', (None, 8, 8, 128), 0],
72
['Conv2D', (None, 8, 8, 512), 66048, 'valid', 'linear', 'GlorotUniform'],
73
['Conv2D', (None, 8, 8, 512), 131584, 'valid', 'linear', 'GlorotUniform'],
74
['BatchNormalization', (None, 8, 8, 512), 2048],
75
['BatchNormalization', (None, 8, 8, 512), 2048],
76
['Add', (None, 8, 8, 512), 0],
77
['Activation', (None, 8, 8, 512), 0],
78
['Conv2D', (None, 8, 8, 128), 65664, 'valid', 'linear', 'RandomUniform'],
79
['BatchNormalization', (None, 8, 8, 128), 512],
80
['Activation', (None, 8, 8, 128), 0],
81
['Conv2D', (None, 8, 8, 128), 147584, 'same', 'linear', 'RandomUniform'],
82
['BatchNormalization', (None, 8, 8, 128), 512],
83
['Activation', (None, 8, 8, 128), 0],
84
['Conv2D', (None, 8, 8, 512), 66048, 'valid', 'linear', 'RandomUniform'],
85
['BatchNormalization', (None, 8, 8, 512), 2048],
86
['Add', (None, 8, 8, 512), 0],
87
['Activation', (None, 8, 8, 512), 0],
88
['Conv2D', (None, 8, 8, 128), 65664, 'valid', 'linear', 'RandomUniform'],
89
['BatchNormalization', (None, 8, 8, 128), 512],
90
['Activation', (None, 8, 8, 128), 0],
91
['Conv2D', (None, 8, 8, 128), 147584, 'same', 'linear', 'RandomUniform'],
92
['BatchNormalization', (None, 8, 8, 128), 512],
93
['Activation', (None, 8, 8, 128), 0],
94
['Conv2D', (None, 8, 8, 512), 66048, 'valid', 'linear', 'RandomUniform'],
95
['BatchNormalization', (None, 8, 8, 512), 2048],
96
['Add', (None, 8, 8, 512), 0],
97
['Activation', (None, 8, 8, 512), 0],
98
['Conv2D', (None, 8, 8, 128), 65664, 'valid', 'linear', 'RandomUniform'],
99
['BatchNormalization', (None, 8, 8, 128), 512],
100
['Activation', (None, 8, 8, 128), 0],
101
['Conv2D', (None, 8, 8, 128), 147584, 'same', 'linear', 'RandomUniform'],
102
['BatchNormalization', (None, 8, 8, 128), 512],
103
['Activation', (None, 8, 8, 128), 0],
104
['Conv2D', (None, 8, 8, 512), 66048, 'valid', 'linear', 'RandomUniform'],
105
['BatchNormalization', (None, 8, 8, 512), 2048],
106
['Add', (None, 8, 8, 512), 0],
107
['Activation', (None, 8, 8, 512), 0],
108
['Conv2D', (None, 4, 4, 256), 131328, 'valid', 'linear', 'GlorotUniform'],
109
['BatchNormalization', (None, 4, 4, 256), 1024],
110
['Activation', (None, 4, 4, 256), 0],
111
['Conv2D', (None, 4, 4, 256), 590080, 'same', 'linear', 'GlorotUniform'],
112
['BatchNormalization', (None, 4, 4, 256), 1024],
113
['Activation', (None, 4, 4, 256), 0],
114
['Conv2D', (None, 4, 4, 1024), 263168, 'valid', 'linear', 'GlorotUniform'],
115
['Conv2D', (None, 4, 4, 1024), 525312, 'valid', 'linear', 'GlorotUniform'],
116
['BatchNormalization', (None, 4, 4, 1024), 4096],
117
['BatchNormalization', (None, 4, 4, 1024), 4096],
118
['Add', (None, 4, 4, 1024), 0],
119
['Activation', (None, 4, 4, 1024), 0],
120
['Conv2D', (None, 4, 4, 256), 262400, 'valid', 'linear', 'RandomUniform'],
121
['BatchNormalization', (None, 4, 4, 256), 1024],
122
['Activation', (None, 4, 4, 256), 0],
123
['Conv2D', (None, 4, 4, 256), 590080, 'same', 'linear', 'RandomUniform'],
124
['BatchNormalization', (None, 4, 4, 256), 1024],
125
['Activation', (None, 4, 4, 256), 0],
126
['Conv2D', (None, 4, 4, 1024), 263168, 'valid', 'linear', 'RandomUniform'],
127
['BatchNormalization', (None, 4, 4, 1024), 4096],
128
['Add', (None, 4, 4, 1024), 0],
129
['Activation', (None, 4, 4, 1024), 0],
130
['Conv2D', (None, 4, 4, 256), 262400, 'valid', 'linear', 'RandomUniform'],
131
['BatchNormalization', (None, 4, 4, 256), 1024],
132
['Activation', (None, 4, 4, 256), 0],
133
['Conv2D', (None, 4, 4, 256), 590080, 'same', 'linear', 'RandomUniform'],
134
['BatchNormalization', (None, 4, 4, 256), 1024],
135
['Activation', (None, 4, 4, 256), 0],
136
['Conv2D', (None, 4, 4, 1024), 263168, 'valid', 'linear', 'RandomUniform'],
137
['BatchNormalization', (None, 4, 4, 1024), 4096],
138
['Add', (None, 4, 4, 1024), 0],
139
['Activation', (None, 4, 4, 1024), 0],
140
['Conv2D', (None, 4, 4, 256), 262400, 'valid', 'linear', 'RandomUniform'],
141
['BatchNormalization', (None, 4, 4, 256), 1024],
142
['Activation', (None, 4, 4, 256), 0],
143
['Conv2D', (None, 4, 4, 256), 590080, 'same', 'linear', 'RandomUniform'],
144
['BatchNormalization', (None, 4, 4, 256), 1024],
145
['Activation', (None, 4, 4, 256), 0],
146
['Conv2D', (None, 4, 4, 1024), 263168, 'valid', 'linear', 'RandomUniform'],
147
['BatchNormalization', (None, 4, 4, 1024), 4096],
148
['Add', (None, 4, 4, 1024), 0],
149
['Activation', (None, 4, 4, 1024), 0],
150
['Conv2D', (None, 4, 4, 256), 262400, 'valid', 'linear', 'RandomUniform'],
151
['BatchNormalization', (None, 4, 4, 256), 1024],
152
['Activation', (None, 4, 4, 256), 0],
153
['Conv2D', (None, 4, 4, 256), 590080, 'same', 'linear', 'RandomUniform'],
154
['BatchNormalization', (None, 4, 4, 256), 1024],
155
['Activation', (None, 4, 4, 256), 0],
156
['Conv2D', (None, 4, 4, 1024), 263168, 'valid', 'linear', 'RandomUniform'],
157
['BatchNormalization', (None, 4, 4, 1024), 4096],
158
['Add', (None, 4, 4, 1024), 0],
159
['Activation', (None, 4, 4, 1024), 0],
160
['Conv2D', (None, 4, 4, 256), 262400, 'valid', 'linear', 'RandomUniform'],
161
['BatchNormalization', (None, 4, 4, 256), 1024],
162
['Activation', (None, 4, 4, 256), 0],
163
['Conv2D', (None, 4, 4, 256), 590080, 'same', 'linear', 'RandomUniform'],
164
['BatchNormalization', (None, 4, 4, 256), 1024],
165
['Activation', (None, 4, 4, 256), 0],
166
['Conv2D', (None, 4, 4, 1024), 263168, 'valid', 'linear', 'RandomUniform'],
167
['BatchNormalization', (None, 4, 4, 1024), 4096],
168
['Add', (None, 4, 4, 1024), 0],
169
['Activation', (None, 4, 4, 1024), 0],
170
['Conv2D', (None, 2, 2, 512), 524800, 'valid', 'linear', 'GlorotUniform'],
171
['BatchNormalization', (None, 2, 2, 512), 2048],
172
['Activation', (None, 2, 2, 512), 0],
173
['Conv2D', (None, 2, 2, 512), 2359808, 'same', 'linear', 'GlorotUniform'],
174
['BatchNormalization', (None, 2, 2, 512), 2048],
175
['Activation', (None, 2, 2, 512), 0],
176
['Conv2D', (None, 2, 2, 2048), 1050624, 'valid', 'linear', 'GlorotUniform'],
177
['Conv2D', (None, 2, 2, 2048), 2099200, 'valid', 'linear', 'GlorotUniform'],
178
['BatchNormalization', (None, 2, 2, 2048), 8192],
179
['BatchNormalization', (None, 2, 2, 2048), 8192],
180
['Add', (None, 2, 2, 2048), 0],
181
['Activation', (None, 2, 2, 2048), 0],
182
['Conv2D', (None, 2, 2, 512), 1049088, 'valid', 'linear', 'RandomUniform'],
183
['BatchNormalization', (None, 2, 2, 512), 2048],
184
['Activation', (None, 2, 2, 512), 0],
185
['Conv2D', (None, 2, 2, 512), 2359808, 'same', 'linear', 'RandomUniform'],
186
['BatchNormalization', (None, 2, 2, 512), 2048],
187
['Activation', (None, 2, 2, 512), 0],
188
['Conv2D', (None, 2, 2, 2048), 1050624, 'valid', 'linear', 'RandomUniform'],
189
['BatchNormalization', (None, 2, 2, 2048), 8192],
190
['Add', (None, 2, 2, 2048), 0],
191
['Activation', (None, 2, 2, 2048), 0],
192
['Conv2D', (None, 2, 2, 512), 1049088, 'valid', 'linear', 'RandomUniform'],
193
['BatchNormalization', (None, 2, 2, 512), 2048],
194
['Activation', (None, 2, 2, 512), 0],
195
['Conv2D', (None, 2, 2, 512), 2359808, 'same', 'linear', 'RandomUniform'],
196
['BatchNormalization', (None, 2, 2, 512), 2048],
197
['Activation', (None, 2, 2, 512), 0],
198
['Conv2D', (None, 2, 2, 2048), 1050624, 'valid', 'linear', 'RandomUniform'],
199
['BatchNormalization', (None, 2, 2, 2048), 8192],
200
['Add', (None, 2, 2, 2048), 0],
201
['Activation', (None, 2, 2, 2048), 0],
202
['AveragePooling2D', (None, 1, 1, 2048), 0],
203
['Flatten', (None, 2048), 0],
204
['Dense', (None, 6), 12294, 'softmax']]
205